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    Enables AI assistants running in WSL to capture Windows screenshots of full desktops, specific monitors, or individual windows by title or process name. It features DPI awareness, automatic path conversion between WSL and Windows, and customizable storage options.
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    MIT
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    Enables LLMs to capture and analyze screenshots of your screen, windows, or regions with smart detection capabilities. Features natural language queries, automatic window targeting, and text enhancement for UI debugging and visual inspection.
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    MIT
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    Enables AI assistants to capture screenshots and control desktop input (mouse, keyboard) to see and interact with your screen. Features user-first safety controls including automatic pause on user activity and app allowlists to restrict interactions to approved applications only.
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    MIT
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    An MCP server that enables high-speed Android screenshot capture with ~50ms latency using the scrcpy frame buffer. It maintains a circular buffer for instant access to recent frames and automatically falls back to ADB when scrcpy is unavailable.
    MIT
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    Provides native macOS computer control tools including mouse and keyboard simulation, screenshot capture, and application management for MCP-compatible agents. It enables AI assistants to directly interact with the macOS operating system and installed apps through standard tool calls.
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    37 npm
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    MIT
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    Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).
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    MIT
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    Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida
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    30 npm
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    MIT
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    Enables AI agents to operate a real GNOME Wayland desktop through accessibility-tree widget actions, pointer/keyboard input, OCR, window management, and screen capture, optionally on a private headless session.
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    Apache 2.0
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    A Model Context Protocol server that enables scalable mobile automation for iOS and Android through a platform-agnostic interface, allowing LLMs to interact with mobile applications via accessibility snapshots or screenshot-based inputs.
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    29,930 npm
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    Apache 2.0
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    Enables two-way communication between Claude and Slack for posting messages, managing threads, and handling files. It specifically supports asynchronous workflows by allowing Claude to poll for remote user replies and send task notifications.
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    An MCP server that drives OrcaSlicer headlessly on a virtual display, enabling an agent to import 3D models, slice them, and export G-code without a physical screen or GUI automation.
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